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Könyv Comparative Study of ARIMA & ANN Models Shishir Saha

Comparative Study of ARIMA & ANN Models

A comparative study of Artificial Neural Network and Box-Jenkins ARIMA modeling for Dhaka Stock Exchange General Index

Szerző: Shishir Saha, Sumonkanti Das, Md. Ahmed Kabir Chowdhury
Nyelv: Angol
Kötés: Puha kötésű
Kiadó: LAP Lambert Academic Publishing
Elérhetőség: Beszállítói készleten
Küldés 8-11 napon belül
16 860 Ft
Time series analyses particularly forecasting of financial data have been attracting some special at...

Információk a könyvről

Szerző
Shishir Saha, Sumonkanti Das, Md. Ahmed Kabir Chowdhury
Nyelv
Angol
Kötés
Könyv - Puha kötésű
Kiadva
2011
oldal
112
EAN
9783846593554
Enbook ID
07083390
Kiadó
LAP Lambert Academic Publishing
Súly
183
Méretek
150 x 220 x 7

Teljes leírás

Time series analyses particularly forecasting of financial data have been attracting some special attention due to its nonlinear nature and complex behavior. Since the classical statistical methods become inadequate in such cases, a new generation of methodologies has been using for the analysis of trends, patterns and forecasting. Artificial Neural Networks (ANN) has been approved successful in recent time to approximate such non-linearity. In pursuing the prediction of Dhaka Stock Exchange (DSE) General Index, the study has made an attempt to develop a traditional linear ARIMA model and a non-linear ANN model. Finally, the prediction performances are compared on the basis of accuracy in prediction and several performance indicators. The findings of the study suggest ANN model as the more efficient one for the DSE General Index prediction than the traditional ARIMA model.

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